EGU25-19031, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-19031
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Antarctic ice shelf crevasse detection using multi-source remote sensing data and machine learning
- 1International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
- 2Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
- 3Institute of Geography, Oeschger Center for Climate Change Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
How to cite: Liang, S. and Xiao, X.: Antarctic ice shelf crevasse detection using multi-source remote sensing data and machine learning, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19031, https://doi.org/10.5194/egusphere-egu25-19031, 2025.